Sr Data Scientist, AD/ADAS

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all., * Develop data strategies on how to collect, sample, label, handle, and leverage large amounts of data from Toyota’s market fleet, test vehicles, and simulators, to directly improve machine learning model performance across perception and planning stacks

• Lead data-related activities across the autonomy team (perception, planning, product evaluation, etc), and across the company in collaboration with the Toyota group, by collaborating closely with stakeholders from multiple teams in different time-zones
• Analyze large-scale data and identify its characteristics to propose technical solutions for data curation, model improvement and performance evaluation techniques
• Develop evaluation frameworks and metrics to assess planner performance, identifying edge cases and high-value scenarios to improve system behavior.
• Design and improve the scalable data pipelines and automation for machine learning and performance evaluation
• Enhance the overall team capabilities in data science by initiating and leading initiatives across the Autonomy teams and mentor team members.

• Masters or PhD degree in a quantitative field related to Science and Engineering.
• 5+ years experience in following industries or research areas: AD/ADAS, Robotics, Computer Vision, or Behavioral Planning.
• 3+ years experience in data science or related areas, including theoretical aspects of data science like machine learning (deep learning, statistical analysis, A/B testing, and mathematical modeling)
• Experience in building machine learning algorithms and infrastructure, such as: data pre- and post-processing, sampling and curation, ablation studies, evaluation
• Experience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) database; and iii) cloud platform services (AWS, GCP, Azure)

NICE TO HAVES

• 5+ years experience in data science or related areas
• 2+ years tech lead or management experience in data science or related areas for business applications, such as production, commercial service or public service development
• Hands-on experience in the following:
• Analyze huge (e.g. peta byte) scale database
• Experience with temporal/sequential and/or spatial data
• Develop perception-related technologies, such as camera image processing, computer vision, machine learning, or deep learning
• Design data annotation rules for machine learning
• Build or manage infrastructure, such as Docker, Kubernetes, Jenkins, GitHub Actions
• Behavior prediction, imitation learning, reinforcement learning, or end-to-end models.
• Japanese language skills

WHAT WE OFFERWe are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.・Excellent health, wellness, dental and vision coverage・A rewarding pension・Flexible vacation policy・Family planning and care benefits

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what “mobility” means and how it serves society., At Woven by Toyota, we tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. We develop advanced Perception and Planning technologies, and their production software for multiple AD/ADAS systems. To deliver reliable data-driven technologies to millions of Toyota vehicles, we are solving complex real-world problems using large-scale data, machine learning, and state-of-the-art architectures for Perception, Prediction, and Motion Planning.